Recent Posts: CraigM350

Originally posted on Watts Up With That?: “But who’s going to listen to some guy in his basement with a coil of copper wire on his roof?” We’ve covered this before, and now here’s the backstory and timeline from NASA Goddard, it’s fun reading. A Detailed Timeline of The IMAGE Mission Recovery The Imager for…

Originally posted on Watts Up With That?: Monitoring Twitter, a number of people are reporting some download sites aren’t working. So, since WUWT has been setup to handle such things (Climategate for example) here is the memo in full. Some might say “Why is WUWT getting into the polictical mess that has nothing to do…

Originally posted on WeatherAction News: Scientists will go to any extreme to get that grant! Not content with the seemingly endless effluent of fear and fakery spewed out of their various orifices, the media have have yet more fear and fakery to spread courtesy of their erstwhile academic colleagues; What I found rather surprising was…

Originally posted on Tallbloke's Talkshop: Getting any response from 13 billion miles away is quite a feat. But what will the aliens make of Chuck Berry? Engineers experience “joy and incredulity” as a successful test extends the life of the farthest human-made object from Earth, reports Sky News. NASA has been able to extend…

TOBS Update: Something Seriously Wrong At USHCN

Last week I showed some graphs like the ones below, which demonstrate that the TOBS (time of observation bias) adjustment is bogus. Stations which took their readings during the morning on July 15, 1936 are actually cooling slightly relative to the July 15, 1936 afternoon stations. This behavior is the opposite of what TOBS was created to correct.

So this morning I tried the same experiment on the raw monthly USHCN data using the identical set of stations as was used in the daily analysis. In this case, something very unexpected appeared. The morning stations are warming much faster than the afternoon stations, which is what TOBS theory predicts.

This discrepancy makes no sense, because I am using the identical set of stations for both the monthly and daily data. The monthly data is supposed to be the average of the daily data.